Triple

T6071757
Position Surface form Disambiguated ID Type / Status
Subject Sucre Department E135298 entity
Predicate hasCapital P204 FINISHED
Object Sincelejo
Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
 E567451 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sincelejo | Statement: [Sucre Department, hasCapital, Sincelejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sincelejo
Context triple: [Sucre Department, hasCapital, Sincelejo]
  • A. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • B. Ojojona
    Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
  • C. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • D. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • E. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sincelejo
Triple: [Sucre Department, hasCapital, Sincelejo]
Generated description
Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sincelejo
Target entity description: Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
  • A. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • B. Ojojona
    Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
  • C. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • D. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • E. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05758a21c81909cc10ef5f725a489 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d349f288190833384eb9e6c7f52 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11ec11864819084c31d98133ca53a completed March 23, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69c11f29842881909acf88a1fa896354 completed March 23, 2026, 11:08 a.m.
Created at: March 22, 2026, 4:11 p.m.